Machine_Learning_Project : Student math score

This is a generic machine learning project.

This project deals with the idea of analyzing student data and predicting the math_score of any student.

Dataset Source - https://www.kaggle.com/datasets/spscientist/students-performance-in-exams?datasetId=74977 The data consists of 8 column and 1000 rows.

There are both categorical as well as numerical values.

We have 3 numerical features : ['math_score', 'reading_score', 'writing_score']

We have 5 categorical features : ['gender', 'race_ethnicity', 'parental_level_of_education', 'lunch', 'test_preparation_course']

Life cycle of the project

Understanding the Problem Statement

Data Collection

Data Checks to perform

Exploratory data analysis

Data Pre-Processing

Model Training

Choose best model

Accuracy acheived was about : 87%